My research interest is understanding the set of components, interactions, and processes that govern the complexity of living organisms as a means to provide solutions to major biomedical challenges. My strategy is based on the development of innovative computational approaches for the integration and exploration of different datasets, within the experimental framework. I am determined to leverage my biology background and computational skills to create better links between the biology and informatics worlds. During my graduate work I studied a variety of physicochemical and functional constraints acting on the sequence and structure of proteins. For example, I characterized the evolutionary patterns in a membrane protein family and applied this information to successfully engineer altered versions of a protein of this family; I explored physicochemical properties of the functional cavities of enzymes, proposed new metrics, and characterized defining features of these important functional spaces; I evaluated the relationship between enzyme structures, enzyme functions, and metabolic fluxes in the central carbon metabolism of E. coli. Perhaps most significantly, I unveiled the distinctive nature of lysine carboxylation, a non-enzymatic posttranslational modification affecting active sites. The growing necessity of my research to better understand how biological data is collected, stored, and managed led me to dictyBase, where I had the opportunity to learn the methodology of professional software development and advance my computational skills. In my current research, I am developing computational methods to integrate high-throughput data and model host-pathogen interactions.

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